For Image Super-Resolution (SR), it is common to train and evaluate scale-specific models composed of an encoder and upsampler for each targeted scale. Consequently, many SR studies encounter ...

Abstract: Due to the current lack of large-scale datasets at the million-scale level, tasks involving panoramic images predominantly rely on existing two-dimensional pre-trained image benchmark models ...

Machine generated contents note: 1. Challenges and opportunities in the measurement and assessment of biological diversity / Brian J. McGill -- 1.1. Introduction -- 1.2. State of the field -- 1.3.

Meta’s $14.3 billion investment in Scale AI represents the social media giant’s most significant move to secure high-quality training data for artificial intelligence models. The deal gives Meta a 49% ...

Abstract: Self-supervised monocular depth estimation (MDE) has received increasing interests in the last few years. The objects in the scene, including the object size and relationship among different ...

Deal values Scale AI at $29 billion, sources say Meta spending $14.3 billion Scale AI CEO Wang to run Meta's superintelligence efforts Deal may affect Scale's relationships with Meta's competitors ...

TL;DR: Seagate was the first storage manufacturer to introduce heat-assisted magnetic recording hard drives to the market and continues to innovate in magnetic storage technology. The company is ...

class ScaleGraphBlock(nn.Module): .... def forward(self, x): B, T, N = x.size() scale_list, scale_weight = FFT_for_Period(x, self.k) res = [] for i in range(self.k ...

HELSINKI — China has unveiled a long-term roadmap to guide its space science programs up to 2050, including a mission to collect a sample of the Venusian atmosphere. The Chinese Academy of Sciences ...